Constructing Effective Questions for Ask Zia in Zoho Analytics

Constructing Effective Questions for Ask Zia in Zoho Analytics

Ask Zia is the AI-powered natural language interface in Zoho Analytics that lets you query your data using plain English. The quality of your results depends on how you phrase your questions. This guide explains the key components of a well-formed query and shares best practices to help you get accurate, actionable answers.

Key Components of a Query

Every effective question for Ask Zia is built from a combination of the following elements:

  • Metrics: The numerical values you want to analyse, such as Sales, Revenue, or Order Count.
  • Dimensions: The categories by which you want to break down the data, such as Region, Product, or Sales Rep.
  • Filters: Conditions that narrow the scope of your analysis, such as a specific time period, product category, or territory.
  • Aggregations: Functions that summarise values, including Total, Average, Count, Minimum, and Maximum.

Types of Analysis You Can Request

Ask Zia supports three broad categories of analytical questions:

Descriptive Analysis

Descriptive questions focus on what has already happened. They summarise historical data to give you an overview of performance.

  • What is the total sales for January 2026?
  • Show me the total sales by region and product category.
  • Which are the top 10 products by sales?

Diagnostic Analysis

Diagnostic questions explore why something happened by identifying patterns, trends, and contributing factors in the data.

  • Why did sales decline in Q3?
  • What factors are driving the increase in support tickets?

Predictive Analysis

Predictive questions ask Zia to project future outcomes based on historical trends and patterns.

  • Show monthly revenue for the last year with a forecast.
  • What will our sales look like next quarter?

Best Practices for Phrasing Questions

  1. Start simple: Begin with a straightforward question before adding complexity. For example, ask for total sales before breaking it down by region.
  2. Use column names: Where possible, use the exact names of columns from your dataset. This helps Zia resolve ambiguity quickly.
  3. Apply filters explicitly: State your filter conditions clearly, such as specifying a date range or a particular segment.
  4. Include time context: Time-based filters like last month, last quarter, or a specific year make results far more precise.
  5. Be specific about aggregation: If you want an average rather than a total, state it clearly — for example, ask for average order value rather than just order value.

Example Questions

  • What is the total sales for Jan 2026?
  • Show me the total sales by region and product category.
  • Top 10 products by sales.
  • Show monthly revenue for the last year.
  • What is the average deal size by sales rep in Q4?
  • Compare this year's revenue to last year's by month.
Tip: If Ask Zia returns an unexpected result, try rephrasing your question using different terminology or adding more context, such as a date range or specific column name.
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